2023
Contemporary Methods for Predicting Acute Kidney Injury After Coronary Intervention
Uzendu A, Kennedy K, Chertow G, Amin A, Giri J, Rymer J, Bangalore S, Lavin K, Anderson C, Wang T, Curtis J, Spertus J. Contemporary Methods for Predicting Acute Kidney Injury After Coronary Intervention. JACC Cardiovascular Interventions 2023, 16: 2294-2305. PMID: 37758384, PMCID: PMC10795198, DOI: 10.1016/j.jcin.2023.07.041.Peer-Reviewed Original ResearchConceptsAcute kidney injuryPercutaneous coronary interventionValidation cohortKidney injuryCoronary interventionClinical careIncidence of AKIBedside risk scoreBaseline renal functionNCDR CathPCI RegistryLogistic regression modelsAKI riskNew dialysisAKI predictionCathPCI RegistryRenal functionCommon complicationDerivation cohortMedian ageAKI modelClinical instabilityPCI proceduresC-statisticPatient riskContrast doses
2021
Predicting In-Hospital Mortality in Patients Undergoing Percutaneous Coronary Intervention
Castro-Dominguez YS, Wang Y, Minges KE, McNamara RL, Spertus JA, Dehmer GJ, Messenger JC, Lavin K, Anderson C, Blankinship K, Mercado N, Clary JM, Osborne AD, Curtis JP, Cavender MA. Predicting In-Hospital Mortality in Patients Undergoing Percutaneous Coronary Intervention. Journal Of The American College Of Cardiology 2021, 78: 216-229. PMID: 33957239, DOI: 10.1016/j.jacc.2021.04.067.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionHospital mortalityQuality improvement effortsCoronary interventionDevelopment cohortValidation cohortRisk-standardized mortality ratesHospital risk-standardized mortality ratesBedside risk scoreHigh-risk patientsIn-Hospital MortalityHospital mortality riskRisk of mortalityLevel of consciousnessProcedural urgencyCathPCI RegistryClinical presentationRisk cohortRisk stratificationCardiovascular instabilityCardiac arrestMortality riskRisk scoreClinical acuityClinical relevance
2017
Modeling Major Adverse Outcomes of Pediatric and Adult Patients With Congenital Heart Disease Undergoing Cardiac Catheterization
Jayaram N, Spertus JA, Kennedy KF, Vincent R, Martin GR, Curtis JP, Nykanen D, Moore PM, Bergersen L. Modeling Major Adverse Outcomes of Pediatric and Adult Patients With Congenital Heart Disease Undergoing Cardiac Catheterization. Circulation 2017, 136: 2009-2019. PMID: 28882885, PMCID: PMC5698125, DOI: 10.1161/circulationaha.117.027714.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsBlood CoagulationBlood Coagulation DisordersCardiac CatheterizationChildChild, PreschoolChi-Square DistributionFemaleHeart Defects, CongenitalHemodynamicsHumansInfantInfant, NewbornKidneyLogistic ModelsMaleMultivariate AnalysisOdds RatioRegistriesRenal InsufficiencyReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesYoung AdultConceptsProcedure-type risk categoriesMajor adverse outcomesMajor adverse eventsCardiac catheterizationCongenital heart diseaseAdverse eventsValidation cohortAdverse outcomesCongenital cardiac catheterizationIMPACT RegistryRisk categoriesHemodynamic vulnerabilityHeart diseaseMultivariable hierarchical logistic regression modelsFinal risk-adjustment modelSingle ventricle physiologyRisk-adjusted outcomesHierarchical logistic regression modelsRisk-adjustment modelsLogistic regression modelsRisk standardizationRenal insufficiencyAdult patientsConsecutive patientsPatient characteristics
2016
Development and validation of a simple risk score to predict 30‐day readmission after percutaneous coronary intervention in a cohort of medicare patients
Minges KE, Herrin J, Fiorilli PN, Curtis JP. Development and validation of a simple risk score to predict 30‐day readmission after percutaneous coronary intervention in a cohort of medicare patients. Catheterization And Cardiovascular Interventions 2016, 89: 955-963. PMID: 27515069, PMCID: PMC5397364, DOI: 10.1002/ccd.26701.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAlgorithmsDecision Support TechniquesFemaleHumansLogistic ModelsMaleMedicareMultivariate AnalysisOdds RatioPatient ReadmissionPercutaneous Coronary InterventionPredictive Value of TestsRegistriesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsRisk of readmissionPCI patientsRisk scoreMultivariable logistic regression modelRisk score developmentDays of dischargeSimple risk scoreTime of dischargeModel c-statisticLogistic regression modelsStepwise selection modelCathPCI RegistryHospital dischargeReadmission ratesClinical factorsRevascularization proceduresValidation cohortC-statisticReadmissionHigh riskMedicare feeLower riskService claimsPatientsCohort
2014
Validated Contemporary Risk Model of Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Interventions: Insights From the National Cardiovascular Data Registry Cath‐PCI Registry
Tsai TT, Patel UD, Chang TI, Kennedy KF, Masoudi FA, Matheny ME, Kosiborod M, Amin AP, Weintraub WS, Curtis JP, Messenger JC, Rumsfeld JS, Spertus JA. Validated Contemporary Risk Model of Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Interventions: Insights From the National Cardiovascular Data Registry Cath‐PCI Registry. Journal Of The American Heart Association 2014, 3: e001380. PMID: 25516439, PMCID: PMC4338731, DOI: 10.1161/jaha.114.001380.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAge FactorsAgedBiomarkersComorbidityCreatinineDecision Support TechniquesFemaleGlomerular Filtration RateHumansKidneyMaleMiddle AgedPercutaneous Coronary InterventionPredictive Value of TestsRegistriesRenal DialysisReproducibility of ResultsRisk AssessmentRisk FactorsSeverity of Illness IndexTreatment OutcomeUnited StatesConceptsAcute kidney injuryPercutaneous coronary interventionCardiogenic shockKidney injuryCoronary interventionHeart failureValidation cohortPreventative strategiesRisk of PCIPrior percutaneous coronary interventionAKI prediction modelBaseline renal impairmentConsecutive PCI patientsContemporary risk modelsPrior cerebrovascular diseasePrior heart failureChronic lung diseaseRisk-stratify patientsLocal quality improvement effortsQuality improvement effortsGood discriminationBaseline CKDSTEMI presentationPCI patientsPCI registry
2013
Developing a Risk Model for In-Hospital Adverse Events Following Implantable Cardioverter-Defibrillator Implantation A Report From the NCDR (National Cardiovascular Data Registry)
Dodson JA, Reynolds MR, Bao H, Al-Khatib SM, Peterson ED, Kremers MS, Mirro MJ, Curtis JP, NCDR. Developing a Risk Model for In-Hospital Adverse Events Following Implantable Cardioverter-Defibrillator Implantation A Report From the NCDR (National Cardiovascular Data Registry). Journal Of The American College Of Cardiology 2013, 63: 788-796. PMID: 24333491, PMCID: PMC3954985, DOI: 10.1016/j.jacc.2013.09.079.Peer-Reviewed Original ResearchConceptsHospital adverse eventsAdverse eventsComplication rateValidation cohortRisk scoreIn-Hospital Adverse EventsImplantable cardioverter defibrillator implantationICD implantation procedureOutcomes of patientsCardioverter-defibrillator implantationHigh-risk subgroupsMultivariable logistic regressionHospital complicationsPeriprocedural complicationsICD implantationICD placementAdverse outcomesRisk subgroupsProcedural volumeStudy groupPatientsProlong lifeCase mixA ReportImplantation procedure